Hello, this is Matsubara, CRM Evangelist.

"An AI that analyzes emotions" and "An AI that resonates with emotions"—these two are completely different things.

The first key factor cited by Arcus Japan as part of their proposed CRM 4.0 is "Emotional Intelligence—AI understanding and resonating with emotions, culture, and values ​​to respond effectively."

This concept of "empathic intelligence" differs from the rapidly evolving "emotion recognition AI (emotion analysis AI)" on a philosophical level.

The global emotional AI market is projected to reach US$29 billion in 2024 and expand at a compound annual growth rate of 21.7% from 2025 to 2034. However, amidst this rapid market expansion, companies that fail to understand the difference between "AI that quantifies emotions" and "AI that resonates with emotions" risk acquiring technology while losing "genuine relationships" with their customers.

This article explains what "empathic intelligence" means as defined by CRM 4.0, how it differs from current emotion recognition AI, and provides an introduction to "AI empathic intelligence" that can be implemented with EMOROCO CRM Lite.

"AI that analyzes emotions" and "AI that resonates with emotions"—the difference between two dimensions

First, let's understand the "emotion recognition AI (emotion analysis AI)" that is currently prevalent in the market.

Current emotion recognition AI: The dimension of "analysis"

Emotion analysis AI is a technology that uses AI to analyze and estimate human emotions from data such as text, voice, and facial expressions. In business settings, it is primarily used to identify and analyze emotions from customers and employees and utilize that information in business operations.

There are three main analytical methods used in emotion recognition AI that are currently in widespread use.

① Text-based sentiment analysis: A method that classifies emotional tendencies, such as positive and negative, based on linguistic expressions contained in social media posts, chats, reviews, etc. The frequency of keywords, context, and the use of emojis and symbols are quantified and processed using machine learning models or dictionary-based methods.

② Voice and facial expression-based emotion recognition: By analyzing facial expressions and tone of voice while watching a commercial, subtle emotional changes such as scenes that piqued interest or parts that were boring are recognized. This allows for the identification of appealing expressions and timing, which can be used to improve advertising and product design.

③ Emotion recognition using a bio-database: By utilizing bio-information such as heart rate, skin potential, and electroencephalogram (EEG), emotional states are estimated from bodily responses. Even without the individual's awareness, psychological states such as tension, anxiety, and relief often manifest as physiological responses, which can be visualized by measuring them through a device.

These are technically sophisticated "emotional analysis tools." However, they are all approaches that "observe, quantify, and classify emotions from the outside."

CRM 4.0's "Empathic Intelligence"—The Dimension of "Resonance"

The "Emotional Intelligence" defined in CRM 4.0 refers to a fundamentally different dimension.

"AI understands, resonates with, and responds to emotions, culture, and values" — the core of this definition lies in the phrase "responds resonating with."

The difference between "emotional analysis" and "empathic intelligence" is similar to the difference between a doctor who takes a temperature with a thermometer and a doctor who looks into the patient's eyes and feels their suffering with their whole being. Both can grasp the fact that the patient has a fever. However, only the latter can understand "why the patient has a fever, how much pain they are in, and what they need."

"Emotions," "Culture," and "Values"—Three Dimensions Understood by AI Empathic Intelligence

CRM 4.0's "empathic intelligence" doesn't just try to understand and resonate with emotions; it requires an understanding of three layers: emotions, culture, and values.

First layer: Emotion – Understanding "the state of being in this moment"

Emotions represent "the state of mind at this very moment." Joy, sadness, anger, fear, surprise, disgust—these are short-term reactions.

This is the area where current emotion recognition AI excels. However, understanding emotions in empathetic intelligence involves not only the "present" but also the "context of change."

"A customer who was cheerful and talkative last month has become less talkative this month"—understanding this "context of change" is what empathetic intelligence—understanding emotions—is all about. It's about understanding the evolution of emotions (a video), not just the current emotional state (a snapshot).

Layer two: Culture – The background behind "why we feel that way"

Emotions stem from cultural backgrounds. People from different cultural backgrounds will experience different emotions in response to the same event.

In a business context, "culture" can manifest as "industry culture," "regional culture," or "organizational culture."

"In this industry, not negotiating a discount is a sign of integrity." "In this region, it's an unwritten rule not to move at the end of the fiscal year." "The president of this company values ​​thoroughness over speed as part of its culture." If you make a proposal without understanding these things, you'll experience situations where, even if you're saying the right things, "for some reason, it just doesn't work out."

Cultural understanding through empathetic intelligence involves grasping the "implicit assumptions" of the community, industry, and organization to which the customer belongs, and responding within that context.

Third layer: Values ​​— The root of "why we live"

The deepest layer is values. What customers value, why they run the business, and what kind of future they envision—these are the sources of motivation that lie behind their emotions.

This is the deepest part of the tacit knowledge that CRM 4.0 calls "ICX (Implicit Customer Experience)." Proposals that understand values ​​arrive not as a "sales pitch," but as an "invitation to co-creation." Proposals that do not understand values, even if they evoke emotional empathy, create a sense of unease, a feeling that "something is off."

Why AI alone cannot achieve "empathic intelligence"—the reasons why collaboration with humans is necessary.

The term "AI empathy" raises the question: "Can AI alone truly understand emotions, culture, and values?"

The answer at this point is "Partially yes, essentially no."

What AI is good at:

• Detecting emotional "signs" from text, audio, and facial expressions.
• Predicting emotional changes based on similar patterns from the past.
• Statistically understanding cultural "trends" from large amounts of data.

Things AI is not good at (areas handled by human personnel):

• Understanding the specific context of "why this customer is feeling this way right now."
• Interpretation of unspoken "silence," "pauses," and "eye expressions"
• "Resonance" at the value level—fostering a sense of "being on the same page as this company"

When emotion recognition AI can instantly detect changes in emotions, it becomes possible to respond early to emotions such as anger and anxiety. In customer service and healthcare settings, this can be useful in preventing complaints and the deterioration of mental health. —This is an example of AI taking on the role of "emotion detection and initial response."

However, achieving "resonance" requires that a human representative , upon receiving the emotional signals detected by the AI , understand the customer's context, culture, and values, and then respond in a way that resonates with them.

CRM 4.0's "empathic intelligence" is achieved through "AI x human collaboration."

"An Introduction to AI Empathic Intelligence" in Practice with EMOROCO CRM Lite

The higher-end product, EMOROCO, is equipped with full-fledged AI empathy intelligence functions such as AI-powered sentiment analysis, customer grouping, and personality prediction. EMOROCO CRM Lite, however, puts this "AI empathy intelligence" into practice through "human observation and CRM record-keeping."

This is not a "degraded version of AI empathy." It's positioned as **"Humans are creating the training data that AI will learn from in the future, starting today."**

Practice ① "The Three-Layer Field of Emotion" - Recording Emotions, Culture, and Values

We design the three layers of empathetic intelligence (emotion, culture, and values) as defined by CRM 4.0 using custom fields in EMOROCO CRM Lite.

Practice ② "Visualizing Emotional Change Trends" - Accumulating observations by staff instead of AI

When AI empathy intelligence functions ideally, it predicts "how this customer's emotions will change in the future" based on past emotional patterns.

EMOROCO CRM Lite achieves this by having human staff members accumulate the "materials" for prediction.

Practice ③ "Documenting Cultural Context" - Turning the "Context" that Makes Proposals Resonate into Organizational Assets

For CRM 4.0's empathetic intelligence to "understand culture," it's necessary to have a record of "the culture of this customer's industry, organization, and region."

Practice ④ "Empathy Intelligence Score" - Visualizing the "degree of resonance" with customers

The ultimate goal of AI empathetic intelligence is to maximize the degree of resonance with customers. This degree of resonance is visualized on the EMOROCO dashboard.

The evolution of "emotion recognition AI" and the future of CRM 4.0: From "analysis" to "resonance"

Current emotion recognition AI is at the "analysis" level. By integrating with CRM (Customer Relationship Management) systems, it becomes possible to correlate customers' past emotional history with their purchasing behavior. This is the first step for CRM as a System of Investor (SoI) to utilize emotional data.

However, the ultimate form of "AI empathetic intelligence" that CRM 4.0 aims for lies beyond this "correlation analysis."

Recording "emotional temperature, ICX change signs, cultural context, and values ​​field" with EMOROCO CRM Lite is the most important preparation for Stage 3.

In the age of AI and empathetic intelligence, what makes a difference for some companies, and what makes them the same?

Imagine a future where AI empathetic intelligence has become widespread as an industry.

Many companies have adopted "emotion recognition AI tools" and possess "customer emotional data." In this situation, where does the difference lie?

Companies that stand out (companies with AI empathetic intelligence):

• The AI ​​detects emotional signals, and the person in charge interprets them while asking "why?"
• It records and preserves the "cultural context and values" that lie behind emotions.
• It can provide "resonant suggestions" by combining AI predictions with human observation.

Companies that don't stand out (companies that simply use sentiment analysis tools):

• We have data showing that "customers are angry," but we lack context on "why they are angry."
• The tool is unilaterally sending "personalized messages" that it has generated.
• Emotional data is limited to "recording emotional temperature" and is not used for "designing resonance with values."

**The difference between companies with empathetic intelligence and those without will widen as AI becomes more widespread.** This is because while AI will make "emotional analysis" a commodity accessible to everyone, "resonance with emotions, culture, and values" can only be achieved through accumulated "human observation data."

Summary — Connecting AI empathetic intelligence with CRM 4.0 and EMOROCO

The empathetic intelligence of CRM 4.0, which involves "AI understanding and resonating with emotions, culture, and values ​​to respond," is currently at the stage where "humans are preparing for AI" in small and medium-sized enterprises today.

Recording the fields of emotions, culture, and values ​​with EMOROCO CRM Lite starting today is both building up "learning data" for future AI empathy intelligence and "practicing empathy intelligence today."

Starting today, build your "emotional assets" to prepare for the age of AI empathy, starting from just 1,500 yen per user per month.
EMOROCO CRM Lite Product Page

Related article: [What is ICX (Implicit Customer Experience)? – How to design unarticulated customer experiences with CRM 4.0 and EMOROCO CRM Lite]

Related article: [Why CRM and AI are a good match—How SoI, with its combination of quantitative and qualitative data, predicts customer behavior]

Related article: [CRM 4.0 as "Corporate Psychology"—What does it mean to resonate with the deep psychology of customers?]